Chair: Mary Elliott
The PSI Training Committee organises five or six training courses each year. Generally our courses are designed to bring statisticians and statistical programmers working in the pharmaceutical industry up-to-date in a particular subject area. Courses are of one or two days' duration, and our presenters are often from academia with particular expertise in the course topic. We focus on application, but also provide sufficient theory to clarify the concepts behind the techniques. Delegate numbers are limited to 30 or less so that there is plenty of opportunity for questions and discussion.
In addition we work with other professional groups and run an annual training course for statisticians new to the industry.
For further details or to register for future training courses please click here
The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies to learn about 6 topics from experts in their field. The ITIT course will have 3 sessions in continental Europe and 3 sessions in the UK. The start of the 2020-2021 course will be delayed until face-to-face meetings with up to 30 people are permitted and companies are allowing travel again.
In this webinar you will hear an introduction to what a patient preference study is as well as an overview of where this type of study can inform regulatory decision making. This will be followed by 2 examples looking at potential approaches to eliciting patient preference.
We are delighted to be joined by Frank Harrell who will present 'Sequential Bayesian Designs for Rapid Learning in COVID-19 Therapeutic Trials'; and also by Dean Follmann, who will present on 'Statistical Aspects of COVID-19 Vaccine Trials'. Join us for this insightful and highly topical webinar.
PSI, the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) and the Biopharmaceutical Section of the American Statistical Association (ASA) are jointly organising a webinar on Estimands in Practice. Speakers from regulatory authorities (FDA and EMA) and industry will present on their experience on this topic to date.
As a member of the Statistical Sciences and Modeling (SSM) group, provide statistical technical support to projects on complex problems and methods.
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